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Delivering mobile enterprise applications on iMMS framework
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Source International Conference On Mobile Data Management archive
Proceedings of the 6th international conference on Mobile data management table of contents
Ayia Napa, Cyprus
SESSION: Industrial table of contents
Pages: 289 - 293  
Year of Publication: 2005
ISBN:1-59593-041-8
Authors
Jun Shen  IBM China Research Laboratory, Beijing, P.R. China
Pei Sun  IBM China Research Laboratory, Beijing, P.R. China
Changjie Guo  IBM China Research Laboratory, Beijing, P.R. China
Ying Yin  IBM China Research Laboratory, Beijing, P.R. China
Song Song  IBM China Research Laboratory, Beijing, P.R. China
Sponsors
: University of Cyprus
SIGMOD: ACM Special Interest Group on Management of Data
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Mobile messaging services like SMS, MMS and wireless instant messaging services have become the major revenue source of the wireless data services. Compared with the online web access model, messaging access is more preferred in the wireless environment because messaging systems work in an asynchronous way and can tolerate intermittent connectivity. Current mobile messaging focuses on consumer applications, e.g., person-to-person communication. To leverage mobile message usage in mobile enterprise applications, iMMS (Interactive Multimedia Messaging Service) is proposed in this paper, which adds interactive features into MMS standard to provide rich and friendly user interface, local interaction and offline operation. In this paper, a message package based programming model is introduced to support interactive messaging application development. A design of an iMMS framework based on this programming model is presented. The architecture of the framework is also discussed. Finally a mobile workflow solution is given to show the implementation of a mobile enterprise application on the framework.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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Curl Corp., http://www.curl.com

Collaborative Colleagues:
Jun Shen: colleagues
Pei Sun: colleagues
Changjie Guo: colleagues
Ying Yin: colleagues
Song Song: colleagues